Book Image

The Data Visualization Workshop

By : Mario Döbler, Tim Großmann
Book Image

The Data Visualization Workshop

By: Mario Döbler, Tim Großmann

Overview of this book

Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data? The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities. Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you’ll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You’ll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you’ve ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you’ll use the Bokeh library to create dynamic visualizations that can be integrated into any web page. By the end of this workshop, you’ll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.
Table of Contents (9 chapters)
7. Combining What We Have Learned


In this chapter, we covered basic and advanced concepts and methods of geoplotlib. It gave us a quick insight into internal processes, and we learned how to practically apply the library to our own problem statements. Most of the time, the built-in plots should suit your needs pretty well. If you're interested in building animated or even interactive visualizations, you will have to create custom layers that enable those features.

In the following chapter, we'll get some hands-on experience with the Bokeh library and build visualizations that can easily be integrated into web pages. Once we have finished using Bokeh, we'll conclude the chapter with an activity that allows you to work with a new dataset and a library of your choice so that you can come up with your very own visualization.